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The SNOMED CT Implementation Maturity Framework (IMF) is designed to support a multi-stakeholder ecosystem, recognizing that successful implementation of SNOMED CT depends on coordinated efforts across national bodies, healthcare providers, and technology vendors.
The framework defines three primary stakeholder groups, each with distinct roles, responsibilities, and maturity assessment perspectives:
Members (National Release Centers)
User Organizations (software consumers)
Vendors (software providers)
While all stakeholders are assessed across the same domains and maturity levels, the focus of assessment differs depending on the stakeholder type.
The IMF reflects a connected ecosystem model, where each stakeholder group depends on the others:
Members provide governance, standards, and infrastructure
Vendors develop products that implement those standards
User Organizations deploy and use those products in real-world care settings
This relationship can be summarized as:
Effective SNOMED CT implementation requires alignment across all three groups.
Members are typically national or regional organizations responsible for governance and stewardship of SNOMED CT within a country or jurisdiction.
Key Responsibilities
Define national strategy and policy
Manage SNOMED CT licensing and distribution
Develop and maintain national extensions
Support interoperability at a national level
Assessment Focus
Assessment focuses on national capabilities, including governance structures, infrastructure, and adoption across the healthcare system.
Role in the Ecosystem
Members enable the environment in which SNOMED CT can be adopted and used consistently across healthcare systems.
User Organizations include healthcare providers and other entities that use SNOMED CT in clinical and operational workflows.
Key Responsibilities
Implement SNOMED CT within clinical systems
Support structured clinical documentation
Ensure consistent and accurate coding practices
Assessment Focus
Assessment focuses on organizational implementation, including system integration, clinical usage, and workforce capability.
Role in the Ecosystem
User Organizations deliver care and generate clinical data, realizing the practical value of SNOMED CT.
Vendors are organizations that develop and maintain software systems that enable SNOMED CT use, such as electronic health records (EHRs), terminology services, and interoperability platforms.
Key Responsibilities
Integrate SNOMED CT into products and platforms
Provide terminology services and tooling
Support interoperability standards (e.g., FHIR)
Assessment Focus
While vendors are a key stakeholder group, the IMF assesses the maturity of individual products, platforms, or solutions, rather than the vendor organization as a whole.
This means that:
Different products from the same vendor may have different maturity levels
Assessment focuses on product capabilities, such as terminology integration, interoperability, and usability
Results reflect the real-world functionality available to user organizations
Role in the Ecosystem
Vendors build the tools and infrastructure that make SNOMED CT usable and scalable across healthcare systems.
Although roles differ, all stakeholders share common responsibilities:
Supporting semantic interoperability
Ensuring high quality, structured clinical data
Aligning with standards and best practices
Collaboration between stakeholders is essential to achieve end-to-end maturity.
Achieving higher levels of maturity requires active collaboration between stakeholders.
Examples include:
Members working with vendors to define national requirements
Vendors delivering product capabilities aligned with standards
User organizations providing feedback to improve systems and policies
A lack of alignment between stakeholders can limit progress, even if individual components are mature in isolation.
User Organizations
Use
Organizational implementation and workflows
Provide guidance and support to implementers
Participate in interoperability initiatives
Maintain compliance with SNOMED CT licensing
Members
Enable
National systems and governance
Vendors
Build
Individual products and platforms
For vendors, the IMF assesses the maturity of individual software products or platforms, rather than the organization as a whole.
This page maps each requirement from the SNOMED CT EHR Requirements Guide to a corresponding maturity level in the Implementation Maturity Framework (IMF) for Software Products.
The EHR Requirements Guide defines what a SNOMED CT-enabled EHR system should be capable of across six areas: Edition, Language and Content; User Interface; Analytics and Reporting; Maintenance; Storage; and Interoperability. The IMF for Software Products assesses how comprehensively and effectively those capabilities have been implemented, on a scale from Level 0 (None) to Level 5 (Optimising).
By aligning these two resources, this page helps:
Vendors understand which requirements are expected at each stage of maturity, and plan a progressive implementation roadmap.
National Release Centers (NRCs) frame procurement requirements in terms of the maturity level they wish to mandate or target, rather than applying all requirements uniformly.
Assessors using the IMF tool to verify that a vendor's declared maturity level is substantiated by the corresponding EHR requirements being met.
Each requirement below is labelled with the IMF maturity level at which it is expected. Requirements at lower levels are foundational; they should be in place before higher-level capabilities are pursued.
2.3
Implement SNOMED CT in the native language of the implementing country or organisation.
Level 1 - Basic
2.4
Create or source all SNOMED CT subsets and maps required by the customer, subject to an approved quality assurance process.
Level 3 - Advanced
2.5
Provide a feedback mechanism for submitting new or missing content, including engagement with the NRC where additional content is required.
Level 3 - Advanced
3.3
Provide configurable display options for the term shown upon concept selection (user-entered term, preferred term, or institution-specific term).
Level 2 - Emerging
3.4
Restrict searching and selection to concepts from the SNOMED CT subset bound to the relevant data element.
Level 2 - Emerging
3.5
Display the most frequently selected concepts at the top of the list, for data elements bound to a subset of more than 20 concepts.
Level 3 - Advanced
3.6
As the user types, filter concepts using a word-prefix, any-order algorithm; auto-complete when only one option remains.
Level 2 - Emerging
3.7
Display the concept with the shortest matching term first in the results list.
Level 2 - Emerging
3.8
Use SNOMED CT-enabled NLP to suggest possible SNOMED CT encoding from free text clinical entries, for user confirmation.
Level 4 -Integrated
3.9
Support capture of SNOMED CT post-coordinated expressions using predefined templates and automatically generated interface terms.
Level 4 - Integrated
3.10
Use SNOMED CT concept identifiers stored in the EHR to suggest patient-specific clinical knowledge and test clinical decision support rules.
Level 4 - Integrated
3.11
Use SNOMED CT maps to other coding systems (e.g. ICD-10) to suggest appropriate codes for clinician selection.
Level 3 - Advanced
3.12
Return search results within acceptable performance thresholds (e.g. less than 1 second for initial results).
Level 2 - Emerging
4.3
Use SNOMED CT defining relationships in the determination of correct outcomes for data reporting, extractions and clinical decision support rules.
Level 4 - Integrated
5.3
Where a SNOMED CT extension is required, follow SNOMED CT principles: globally unique identifiers, concept permanence, and a robust audit trail for all inactivations.
Level 5 - Optimising
6.3
Ensure the context of each SNOMED CT concept identifier or expression is clearly represented in the information structure or the terminology (but not both).
Level 2 - Emerging
6.4
Ensure that all inactivated concepts, descriptions and relationships remain available to support querying over historical clinical data.
Level 3 - Advanced
7.3
Support mappings to other terminologies and classifications (e.g. ICD-10, ICPC2, LOINC, Orphanet) where available, making them accessible in relevant contexts.
Level 3 - Advanced
2.1
Incorporate SNOMED CT as the primary clinical terminology, including the international edition, national edition, and any relevant local extensions.
Level 1 - Basic
2.2
Update SNOMED CT within 18 months of a new version of the deployed edition being published, including all changed components and derivative artifacts.
Level 2 - Emerging
3.1
Use SNOMED CT for searching, display, storage, communication, knowledge linkage, querying and analytics in core clinical domains (problems/diagnoses, reason for admission, procedures, allergies).
Level 1 - Basic
3.2
Support searching for SNOMED CT concepts using any preferred or acceptable term in the national language reference set.
Level 2 - Emerging
4.1
Use maps from local code systems to SNOMED CT to enable ad hoc querying, reporting and analysis of legacy clinical data.
Level 2 - Emerging
4.2
Use maps to national and international classifications to enable analysis and reporting, including of legacy data.
Level 3 - Advanced
5.1
Ensure the deployed SNOMED CT edition is kept within 18 months of the most current release.
Level 2 - Emerging
5.2
Maintain all subsets and maps used in user interfaces, reports and queries with each new version of SNOMED CT to ensure continued clinical validity.
Level 3 - Advanced
6.1
Store SNOMED CT concept identifiers in the health record.
Level 1 - Basic
6.2
Store the SNOMED CT concept identifier (or expression) together with the term selected by the user, for each SNOMED CT coded data element.
Level 1 - Basic
7.1
Use SNOMED CT concept identifiers and/or expressions to populate SNOMED CT coded data elements in all relevant message exchanges.
Level 2 - Emerging
7.2
Share data based on national and local data standards, using SNOMED CT as the common clinical language.
Level 3 - Advanced
Note on scope:
The EHR Requirements Guide was designed to define a procurement baseline and naturally concentrates on foundational capabilities.
As a result, the guide's requirements map most directly to Levels 1 through 3, with some reaching into Level 4. Levels 4 and 5 are supplemented below with criteria drawn from the IMF's own descriptions of those levels for Software Products; these are marked (IMF-derived).
For a full assessment at Levels 4 and 5, refer to the IMF for Software Products and the IMF Interactive Self-Assessment Tool.
The SNOMED CT Implementation Maturity Levels for Members (National Release Centers), highlights how adoption evolves at a national or regional level. It shows the progression from no coordinated activity to a fully optimized ecosystem where SNOMED CT is widely implemented, governed, and leveraged for advanced use. The model emphasizes how Members can progressively strengthen governance frameworks, expand adoption across affiliates, align with national health strategies, and enable interoperability and secondary use to support data-driven healthcare at scale.
Health data primarily uses local or non-standardized terminologies
No infrastructure or support for terminology services
Awareness of SNOMED CT exists at a national level
Limited or informal discussions among key stakeholders
No coordinated national program or implementation roadmap
Minimal engagement with international standards or communities
Early understanding of potential benefits, but no structured action
National strategy for SNOMED CT defined or in development
Initial pilot projects or early adopters (e.g., selected organizations)
Early governance structures, roles, and responsibilities beginning to form
Initial stakeholder engagement and awareness-building activities
Exploration of infrastructure needs (e.g., terminology services, extensions)
Increasing number of affiliates actively using SNOMED CT
Formal governance structures established, including policies and oversight
National guidance, standards, and support resources available
Monitoring and reporting mechanisms introduced to track adoption
Training programs and stakeholder engagement initiatives in place
Early interoperability initiatives emerging across systems
Majority of target organizations adopting and using SNOMED CT consistently
Strong governance with active stakeholder participation
Alignment with national digital health strategies and regulatory frameworks
Interoperability enabled across systems through standardized implementation
Measurable improvements in data quality, consistency, and exchange
SNOMED CT used for analytics, reporting, and decision-making
Full national adoption across affiliates and healthcare sectors
Continuous monitoring, evaluation, and improvement embedded in governance
Mature infrastructure supporting terminology services and national extensions
Advanced secondary use of data (analytics, research, population health, AI)
Strong ecosystem collaboration across stakeholders
Recognized leadership in terminology governance and international best practices
Assessment Criteria are the detailed evaluation questions, statements, or checkpoints used to measure the maturity and effectiveness of a specific Key Process Area (KPA).
They define the standards, practices, or capabilities that must be evaluated in order to determine how well a process area is implemented, managed, and optimized.
Assessment Criteria help:
Standardize the evaluation process
Ensure consistency across assessments
Capture measurable evidence
Identify capability gaps and improvement opportunities
Support objective maturity scoring
Each criterion is designed to assess a specific aspect of a KPA and contributes to the calculation of the overall KPA Maturity Index.
Assessment Criteria are typically presented as questions or measurable statements.
Each assessment criterion typically includes:
Question
A clear evaluation question defining what is being assessed.
Context
Examples include:
Governance Structure, organizational oversight and accountability
Strategic Alignment, alignment with healthcare priorities
Affiliate Adoption, extent of SNOMED CT uptake
Each assessment criterion is evaluated using standardized ranking options that are closely aligned with the overall maturity model of the framework.
The ranking levels represent progressive stages of capability maturity, from limited or ad hoc implementation to optimized and continuously improving practices. This ensures consistency between individual assessment criteria, KPA Maturity Indexes, and the Overall Maturity Level.
The framework typically uses a maturity scale such as:
0 - Not Implemented
1 - Initial / Ad Hoc
2 - Defined / Structured
3 - Advanced / Established
Each level is associated with a predefined score that contributes to maturity calculations across the framework.
This close alignment with the maturity model enables:
Consistent and objective evaluation
Comparable scoring across KPAs
Clear identification of maturity progression
Structured roadmaps for continuous improvement
Higher maturity levels indicate stronger governance, broader adoption, improved interoperability, and more advanced operational capabilities.
Assessment Criteria act as the operational layer of the framework. They translate high-level KPAs into practical and measurable evaluation points.
The results collected from all criteria within a KPA are consolidated to generate a maturity score for that process area. These scores are then combined to determine the organization’s overall maturity level.
Well-designed assessment criteria ensure that the maturity assessment is:
Objective
Repeatable
Measurable
Transparent
Clear and comprehensive criteria improve the accuracy of the assessment and provide meaningful insights that support informed decision-making and continuous improvement initiatives.
Maturity Levels and Scoring
Standardized maturity levels describing increasing capability maturity, each associated with a score.
Stakeholder Engagement, collaboration with key participants
User Training, education and capability development
Clinical Workflow Integration, embedding into daily processes
Data Exchange, interoperability across systems
Terminology Updates, maintenance and version management
Search and Usability, effectiveness of terminology tools
Decision Support, use in clinical guidance and alerts
Analytics and Reporting, use for insights and reporting
4 - Integrated / Continuously Improved
5 - Optimized / Adaptive Ecosystem
Actionable
To see the specific criteria/questions for each stakeholder, please refer to the full assessment, which can be found here: SNOMED CT Implementation Maturity Assessment
User organisations: Maturity Assessment for User Organizations
Software products:
An Implementation Maturity Framework provides a common language for understanding where an organisation or system stands in its adoption of SNOMED CT, and what it would take to move forward. By offering a structured way to assess current capability and plan improvement, the framework can be applied across a wide range of contexts; from national health policy to product development to procurement.
This page outlines the key situations in which an implementation maturity framework is most commonly useful.
Why is this useful? National health authorities face the challenge of coordinating SNOMED CT adoption across many different organisations, systems, and regions - each at very different stages of readiness. Without a common way to assess and describe capability, it is difficult to identify where the real gaps are, justify investment decisions, or build a realistic roadmap. A maturity framework gives national bodies a structured, evidence-based foundation for these conversations.
Typical Applications
Assess national readiness for SNOMED CT implementation
Identify gaps in governance, infrastructure, and workforce capability
Develop national roadmaps and policies
Support funding and investment decisions
Example Scenario A national health authority performs a maturity assessment and discovers that governance is well established but technical infrastructure is significantly underdeveloped. This gives them a clear, defensible basis for prioritising investment in national terminology services and distribution mechanisms - and a way to communicate that priority to stakeholders and funders.
Why is this useful? Healthcare providers often know that improving SNOMED CT implementation is a goal, but struggle to translate that goal into actionable priorities. Clinical, technical, and operational teams may have very different views of what "good" looks like. A maturity framework surfaces those differences and helps organisations agree on where to focus effort - whether that is training clinicians, improving systems, or embedding structured data into everyday workflows.
Typical Applications
Evaluate readiness of clinical systems and workflows
Plan SNOMED CT integration into EHR systems
Improve structured clinical documentation
Example Scenario A hospital uses a maturity assessment to discover that its IT systems are relatively capable, but actual clinical adoption and use of SNOMED CT in practice is low. Rather than investing further in infrastructure, the assessment points clearly to clinician training and workflow integration as the highest-value next steps.
Why is this useful? Software vendors often have strong capability in some areas while lagging in others. A maturity framework helps vendors identify those gaps objectively, align their product roadmap with the needs of customers and the broader interoperability landscape, and articulate their SNOMED CT capabilities clearly when competing in the market or responding to procurement requirements.
Typical Applications
Assess SNOMED CT support within products
Align product roadmap with interoperability standards
Improve usability of terminology features
Example Scenario A vendor uses a maturity assessment to identify that while its technical integration is strong, its support for semantic interoperability and terminology services is underdeveloped. This provides a clear, structured rationale for where to focus the next phase of product investment.
Why is this useful? Progress is hard to judge in isolation. Organisations and countries benefit from understanding how their implementation compares with peers - not to rank or shame, but to identify where good practice already exists and learn from those who have solved similar problems. A shared assessment framework makes that comparison meaningful and actionable.
Typical Applications
Benchmark maturity against comparable organisations or countries
Identify leading practices
Support international collaboration and knowledge sharing
Example Scenario A group of countries each conduct a maturity assessment using the same framework and share their results. The comparison reveals which approaches to terminology governance and infrastructure have worked well in similar contexts, enabling targeted knowledge transfer and better alignment of interoperability strategies.
Why is this useful? Without a clear baseline and an agreed destination, implementation roadmaps tend to be vague, over-ambitious, or difficult to prioritise. A maturity framework provides both: an honest assessment of where an organisation is today, and a structured picture of what more advanced implementation looks like. This makes it possible to set realistic goals, sequence activities sensibly, and allocate resources where they will have the most impact.
Typical Applications
Define current baseline and target state
Prioritise initiatives
Sequence implementation activities
Allocate resources effectively
Example Scenario An organisation uses a maturity assessment to establish a clear starting point and set a defined target for where it wants to be within a given timeframe. The framework helps them break the journey into concrete, sequenced steps rather than attempting to improve everything simultaneously.
Why is this useful? Implementation is not a one-time event. Systems evolve, staff change, and adoption patterns shift over time. Regular maturity assessments give organisations a consistent mechanism to check whether progress is being sustained, surface new gaps as they emerge, and adjust strategy accordingly - turning a point-in-time snapshot into an ongoing improvement cycle.
Typical Applications
Track progress over time
Measure the impact of implementation efforts
Adjust strategies based on evidence
Example Scenario A healthcare system makes maturity assessment a regular annual practice. Over successive cycles, they are able to demonstrate concrete improvements in data quality and adoption, and to identify specific areas where expected progress has not materialised — giving them an evidence base for refining their training and governance programmes.
Why is this useful? Procurement processes for health IT systems often struggle to assess SNOMED CT capability rigorously. Vendors may describe their terminology support in vague or incomparable terms. A maturity framework gives procuring organisations a structured basis for specifying what they need, and for evaluating and comparing what vendors actually offer - reducing the risk of selecting a system that cannot meet interoperability requirements in practice.
Typical Applications
Define SNOMED CT requirements in procurement specifications
Evaluate and compare vendor capabilities
Ensure alignment with interoperability goals
Example Scenario A healthcare organisation embeds maturity-based criteria into its procurement process, giving all bidders a clear and consistent standard to respond to. This makes evaluation more objective and reduces the risk of purchasing a system whose SNOMED CT support is superficial or incomplete.
Why is this useful? Policymakers and regulators need practical ways to set implementation expectations, monitor compliance, and target incentives. Without an objective measure of capability, policy tends to be binary and difficult to apply fairly across a diverse landscape. A maturity framework enables a more graduated, proportionate approach - one that rewards progress and gives organisations a clear path toward compliance.
Typical Applications
Define national implementation standards and requirements
Support compliance monitoring
Design incentives and mandates
Example Scenario A national authority uses a maturity framework to define what different levels of compliance look like in practice, and to design a tiered incentive structure that rewards organisations for demonstrable progress - rather than treating compliance as an all-or-nothing threshold.
This section provides guidance to support User Organizations in progressing to higher levels of maturity in the use of SNOMED CT.
This section provides guidance for User Organizations (e.g., healthcare providers) on how to progress between maturity levels.
Progression typically involves moving from isolated clinical use cases to enterprise-wide integration and data-driven care.
• SNOMED CT used in isolated workflows • No governance or strategy • Limited training
• Establish ownership and governance • Define implementation goals • Expand to additional clinical areas • Provide basic training
→ Structured but limited organizational adoption
• Standardize use across departments • Embed SNOMED CT into workflows • Strengthen governance • Improve training and support
→ Consistent use across key clinical processes
• Broad adoption • Workflow integration underway • Limited data use
• Integrate across systems • Improve data quality and consistency • Expand interoperability • Introduce analytics and reporting
→ Fully integrated organizational use
• Integrated systems • Reliable data • Limited optimization
• Implement real-time analytics • Enhance decision support • Continuously improve workflows • Use data for performance improvement
→ Data-driven, continuously improving care delivery
• Clinical engagement • Strong governance • Workflow integration • Effective use of data
The IMF is designed to be applicable across the full range of organisations involved in SNOMED CT implementation, while remaining precise enough to produce meaningful, actionable assessments. To achieve this, the framework is structured around three core design principles: it differentiates between distinct types of stakeholder, it organises assessment around defined areas of capability, and it uses consistent criteria to evaluate maturity within each of those areas.
The diagram illustrates a hierarchical maturity assessment framework used to evaluate organizational or process maturity across multiple stakeholders and key process areas.
Stakeholder Layer
At the top is the Stakeholder entity, representing the group or role being assessed.
The “+ More” label indicates that multiple stakeholders can be included in the assessment model.
Key Process Areas (KPAs)
Each stakeholder is associated with one or more Key Process Areas (KPAs).
KPAs represent major operational, governance, or capability domains being evaluated.
The “More KPAs” indicator shows that additional process areas may exist beyond those displayed.
Assessment Criteria
Each KPA contains several Assessment Criteria (Questions).
These criteria are the detailed evaluation questions or checkpoints used to measure maturity within the KPA.
The “More Criteria” label indicates that each KPA can include additional assessment questions.
KPA Maturity Index
Responses from the assessment criteria are aggregated into a KPA Maturity Index.
This produces a maturity score for each individual KPA.
Overall Maturity Level
The maturity indexes from all KPAs are consolidated into an Overall Maturity Level.
This represents the final aggregated maturity score across the assessed domains.

This section provides guidance to support Vendors in progressing to higher levels of maturity in SNOMED CT-enabled products.
Progression typically involves moving from basic feature support to fully integrated, intelligent, and interoperable platforms.
• Limited or no SNOMED CT support • Basic functionality
• Introduce SNOMED CT into core product features • Enable basic coding and storage • Provide initial user interfaces
→ Initial SNOMED CT capability in the product
• SNOMED CT supported in some modules • Basic usability
• Expand coverage across modules • Improve usability (search, selection) • Introduce structured terminology processes
→ Consistent SNOMED CT functionality across the product
• Good coverage • Limited interoperability depth • Manual terminology processes
• Implement terminology lifecycle management • Strengthen interoperability (standards-based exchange) • Improve data consistency • Automate updates and versioning
→ Scalable, interoperable product architecture
• Strong platform capability • Limited advanced features
• Introduce advanced analytics and CDS • Optimize performance and usability • Enable innovation and new use cases • Continuously improve based on feedback
→ Intelligent, data-driven platform
• Strong product design • Robust terminology management • Standards-based interoperability • Continuous innovation
The SNOMED CT Implementation Maturity Framework (IMF) is a structured model developed by SNOMED International to support the effective adoption, integration, and optimization of SNOMED CT within healthcare systems.
SNOMED CT is a comprehensive clinical terminology used globally to enable consistent representation of clinical information and support semantic interoperability across systems and organizations.
Implementing SNOMED CT is a complex, multi-dimensional process that extends beyond terminology access. It requires coordinated progress across governance, technical infrastructure, workforce capability, and real-world usage.
The IMF has been developed through ongoing collaboration and input from the SNOMED International Member Forum, ensuring that it reflects real-world implementation experience across a diverse range of countries and healthcare systems. This collaborative approach allows the framework to incorporate practical lessons learned, common challenges, and proven strategies from national and organizational implementations.
The framework also builds on established maturity model approaches, adopting a progressive, staged model of capability development. It draws on concepts from widely used frameworks such as:
Capability Maturity Model Integration (CMMI)
ISO/IEC 15504 (SPICE)
Healthcare maturity models such as those developed by HIMSS
These models share a common principle: organizations evolve through defined stages of maturity, with each level representing increased capability, consistency, and value realization.
By applying this approach to SNOMED CT implementation, the IMF provides a standardized and repeatable method for assessing maturity, identifying gaps, and guiding continuous improvement.
The objective of this guide is to:
Describe the structure and purpose of the SNOMED CT Implementation Maturity Framework
Define the maturity domains and levels used to assess SNOMED CT implementation
Provide detailed assessment criteria for different stakeholder groups (Members, User Organizations, and Vendors)
This guide provides a structured framework for assessing and improving the maturity of SNOMED CT implementation across the healthcare ecosystem.
It applies to SNOMED CT implementation at multiple levels, including national, regional, organizational, and product contexts, and supports all key stakeholder groups:
Members (National Release Centers)
User Organizations (healthcare providers and service organizations)
Vendors / Software Products
The framework covers the full range of capabilities required for effective SNOMED CT implementation, including governance, adoption, interoperability, capability development, and data use.
It is intended to support:
Assessment of current maturity
Identification of gaps and improvement priorities
Development of implementation roadmaps
Monitoring of progress over time
This guide is intended for:
National Release Centers and health authorities
Healthcare organizations and providers implementing SNOMED CT
Health IT vendors and system developers
This guide is subject to ongoing review. Feedback from the international community is encouraged to support continuous improvement of the SNOMED CT Implementation Maturity Framework and its practical application.
A mature EHR product that:
Has broad SNOMED CT coverage across core clinical modules
Provides good usability (search, selection, UI integration)
Supports basic interoperability standards
The SNOMED CT Implementation Maturity Levels for Vendors and Software Products provides a structured view of how terminology capabilities evolve within digital health solutions. It outlines the progression from no support for SNOMED CT to fully optimized, intelligent platforms that leverage advanced analytics, interoperability, and AI-driven features. The model highlights how vendors can incrementally enhance product functionality, usability, and integration to better support healthcare organizations in delivering high quality, standardized, and data-driven care.
Enable consistent and comparable implementation of SNOMED CT across healthcare ecosystems
Terminology, interoperability, and data standards specialists
The guide defines what capabilities should be in place at different levels of maturity, but does not prescribe how these should be implemented. This allows flexibility to accommodate different healthcare systems, organizational structures, and technical environments.
This guide does not provide detailed technical implementation guidance, terminology modeling rules, or system-specific design recommendations. Instead, it focuses on enabling a consistent, comparable, and practical approach to understanding and advancing SNOMED CT implementation maturity.
Relies on semi-manual terminology update processes
Has limited advanced analytics and AI capabilities
This reflects a typical commercially mature product, where usability and core functionality are strong, but deeper terminology and data capabilities lag behind.
EHR Modules
Comprehensive – most modules
75
Clinical Domains
Moderate scope
50
KPA Score = (75 + 50) ÷ 2 = 62.5
Update Processes
Basic structured process (manual effort required)
25
Localization & Notification
Limited localization
25
KPA Score = 25
Search & Interface
Intuitive interfaces (synonyms, suggestions)
50
Feedback & Metrics
Metrics actively tracked
75
KPA Score = 62.5
Data Exchange
Standard-based integration (e.g., FHIR/HL7)
50
KPA Score = 50
Decision Support
Defined tools (standard CDS features)
50
Analytics Capabilities
Basic analytics (reporting only)
25
KPA Score = (50 + 25) ÷ 2 = 37.5
Scope of Implementation
62.5
Level 3
Terminology Management
25
Level 1–2
Domain Score = (62.5 + 25 + 62.5 + 50 + 37.5) ÷ 5 = 47.5
→ Level 2 – Emerging (upper range)
Strong coverage across clinical modules
Good usability and user experience
Solid foundation for interoperability
Active use of user feedback for improvements
Weak terminology lifecycle management (updates, versioning, localization)
Limited automation in terminology provisioning
Basic analytics and limited decision support capabilities
To progress to Level 3 – Advanced, the vendor should:
Implement automated SNOMED CT update pipelines
Introduce version control and release management
Improve localization and extension handling
Expand decision support capabilities
Introduce predictive and real-time analytics
Enable better use of coded data
Expand terminology services (value sets, mappings)
Strengthen semantic interoperability across systems
No SNOMED CT functionality within the product
No terminology integration or support for standardized coding
Data captured as free text or using proprietary/local codes only
No capability to support interoperability or structured data exchange
Limited SNOMED CT support with minimal functionality
Basic coding capabilities implemented in isolated modules
Inconsistent or partial implementation across the product
SNOMED CT implemented in selected modules or features
Basic tooling available (e.g., search, selection, simple validation)
Early support for interoperability standards (e.g., basic mappings)
SNOMED CT integrated across core product features and workflows
Improved usability with structured data capture and navigation
Support for standards-based interoperability (e.g., HL7, FHIR)
Broad and consistent implementation across all relevant modules
Advanced usability features (e.g., intelligent search, NLP, suggestions)
Integrated decision support and analytics capabilities
Fully integrated SNOMED CT across all product areas and functionalities
AI-driven features, personalization, and context-aware assistance
Real-time interoperability and advanced analytics capabilities
The SNOMED CT Implementation Maturity Framework (IMF) can be used independently of the interactive assessment tool to support structured, collaborative evaluation of implementation maturity.
This approach is particularly useful for:
Facilitated workshops
Strategic planning sessions
Cross-functional reviews
Early-stage assessments prior to formal scoring
A manual self-assessment enables organizations to build a shared understanding of their current state, validate assumptions, and identify improvement priorities.
Conducting a self-assessment involves five key steps:
Preparation
Scoring Individual Questions
Calculating KPA Scores
Determining Domain and Overall Maturity
Each step is described below.
Stakeholder type (Member, User Organization, or Vendor)
Organizational boundary (national, regional, or local)
Systems or products included
Conduct assessments collaboratively rather than individually
Document assumptions and rationale for each score
Repeat assessments periodically (e.g., annually)
Manual self-assessment:
May be subjective without supporting evidence
Can vary depending on participant perspectives
Does not automatically generate reports or benchmarking
Key Process Areas (KPAs) are the major functional domains or capability areas used to evaluate the maturity and effectiveness of an organization, department, system, or process. Each KPA represents a critical area that contributes to overall organizational performance and maturity.
KPAs help structure the assessment framework into manageable and measurable components. Instead of evaluating an organization as a whole, the maturity assessment is divided into specific areas that can be independently analyzed, scored, and improved.
Depending on the assessment type, KPAs may vary across:
Members (National Release Centers)
User Organizations
Vendors and Software Product Providers
Each KPA contains a collection of Assessment Criteria used to evaluate maturity within that domain.
The purpose of KPAs is to:
Organize the assessment into logical capability domains
Identify strengths and weaknesses within specific operational areas
Enable targeted improvement initiatives
Each stakeholder have one or more KPAs associated with their responsibilities or operational scope. Every KPA contains a set of assessment criteria used to evaluate the maturity of that area.
The responses collected from these assessment criteria are aggregated into a KPA Maturity Index, which reflects the maturity level of that specific process area.
KPAs have been identified for each of the three stakeholder groups: Members (National Release Centers), User Organizations, and Software Products.
While some KPAs, such as Governance and Strategy, Interoperability, and Analytics and Decision Support, appear across multiple groups, the full set varies by stakeholder type. This reflects the different roles each group plays in the SNOMED CT ecosystem.
KPAs for Members (National Release Centers)
Growth and Adoption
Governance and Strategy
Stakeholder Engagement
National Extension Management
KPAs for User Organizations (hospitals, clinics, registries)
Scope of SNOMED CT Implementation
Governance and Strategy
User Proficiency and Training
Interoperability
KPAs for Software Products / Vendors
Scope of SNOMED CT Implementation
Terminology Provisioning and Maintenance
Usability and Tool Support
Interoperability
KPAs provide clarity and focus during the assessment process. By evaluating each area independently, organizations can:
Prioritize improvement efforts
Allocate resources effectively
Track maturity progression over time
Align operational capabilities with strategic objectives
Ultimately, KPAs serve as the foundation of the maturity assessment framework and enable a structured, evidence-based evaluation approach.
The SNOMED CT Implementation Maturity Framework Guide is a structured resource designed to help stakeholders understand and assess their progress in adopting and integrating SNOMED CT. It provides detailed explanations of maturity levels, Key Process Areas (KPAs), and assessment criteria tailored to different stakeholder groups. The guide supports consistent evaluation, facilitates discussion, and helps organizations identify opportunities to advance toward more mature, interoperable, and data-driven use of SNOMED CT.
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A national health authority with:
Well-established governance and national strategy
Strong central SNOMED CT capability (extension, policy, guidance)
Limited uptake across healthcare providers
The Implementation Maturity Framework (IMF) provides a consistent yet flexible model for assessing how SNOMED CT is adopted and used across the healthcare ecosystem.
The general maturity levels provide a shared foundation for assessing SNOMED CT implementation and ensure consistency across the ecosystem. However, their application varies by stakeholder, reflecting different roles, responsibilities, and objectives.
Members (National Release Centers) apply the maturity levels at a national or regional level, focusing on governance frameworks, policy alignment, infrastructure, and the breadth of adoption across affiliates and healthcare systems.
Usability
62.5
Level 3
Interoperability
50
Level 2–3
Analytics & CDS
37.5
Level 2
Overall
47.5
Level 2 – Emerging
Product supports reporting and basic analytics use cases
Strong terminology management, versioning, and update processes
Leadership in innovation, supporting advanced clinical and operational use cases
Provide a structured approach for continuous improvement
Secondary Use
Analytics and Decision Support
Analytics and Decision Support
Interpreting Results and Identifying Actions
Clinical leadership
Technical/IT teams
Terminology specialists
Data/analytics teams
Governance or strategy roles
A multidisciplinary group ensures balanced and accurate scoring.
Where possible, collect documentation to inform scoring:
Policies and governance documents
System architecture and integration details
Training materials
Usage reports and analytics
Interoperability specifications
Each question within a Key Process Area (KPA) includes a set of answer options mapped to a score (typically ranging from 0 to 100). Questions are usually presented with a six-option response scale, and scores from 0 to 100 are progressively assigned across options 0 to 5. The progression between response options is not uniform; instead, different values were assigned by the authors based on their assessment of the maturity level represented by each option.
Review the question and its context carefully
Select the option that best reflects your current state
Assign the corresponding numerical score
Be evidence based: Avoid aspirational scoring
Score current state only: Not planned or future capabilities
Use consensus: Discuss differences and agree as a group
If your organization sits between two options, select the lower score unless there is strong evidence to justify the higher level.
Each domain consists of one or more KPAs.
Calculate the average of all KPA scores within the domain
Domain Score = (Sum of KPA Scores) ÷ (Number of KPAs)
Use the following ranges to determine maturity level:
Two approaches may be used:
1. Weakest Domain Approach (Recommended for decision-making)
Overall maturity = lowest domain level
Ensures balanced capability across all areas
2. Average Score Approach (Recommended for tracking progress)
Overall score = average of all domain scores
Provides a general view of maturity progression
Both perspectives should be considered together.
Highlight domains with higher maturity (strengths)
Identify domains with lower scores (priority gaps)
Maturity should be relatively balanced. Significant variation between domains may indicate:
Over-investment in technology without adoption
Strong governance without implementation
Adoption without interoperability
Focus on:
Low-scoring domains
KPAs with the greatest impact on interoperability and data quality
Areas that enable progress across multiple domains
Set realistic goals:
Short-term: Improve by one level in priority domains
Medium-term: Achieve balanced Level 3 or Level 4 maturity
Long-term: Progress toward Level 5 optimization
Use results to inform strategic planning and investment decisions
Minimal secondary use of SNOMED CT data
This reflects a typical mid-stage national program, where central readiness outpaces adoption.
Affiliate Adoption
<25% adoption
25
Monitoring & Metrics
Minimal monitoring
25
KPA Score = (25 + 25) ÷ 2 = 25
Governance Structure
Comprehensive governance with reviews
75
Strategic Alignment
Integrated with national initiatives
75
KPA Score = 75
Stakeholder Involvement
Occasional engagement
25
End-User Resources
Structured resources
50
KPA Score = (25 + 50) ÷ 2 = 37.5
Extension Processes
Systematic processes
75
KPA Score = 75
Secondary Data Use
Initial attempts
25
KPA Score = 25
Growth & Adoption
25
Level 1-2
Governance & Strategy
75
Level 4
Domain Score = (25 + 75 + 37.5 + 75 + 25) ÷ 5 = 47.5
→ Level 2 – Emerging (upper range)
Strong national governance and policy alignment
Mature extension management and terminology capability
Clear strategic direction
Very low adoption across affiliates
Limited monitoring and feedback mechanisms
Weak stakeholder engagement
Minimal secondary use of data
To move toward Level 3 – Advanced, the Member should:
Establish national implementation mandates or incentives
Support onboarding of healthcare providers
Define minimum adoption requirements
Create formal stakeholder forums
Build partnerships with providers and vendors
Increase communication and support
Introduce national adoption metrics
Track usage across affiliates
Use data to guide interventions
Develop national analytics platforms
Promote reporting and research use cases
Align SNOMED CT with broader data strategy
Vendors / Software Providers apply the maturity levels to the capabilities of their products or platforms, such as terminology integration, usability, interoperability, and support for analytics and decision support.
While each stakeholder group uses tailored criteria and assessment questions, they remain aligned to the same overarching maturity scale. This ensures:
A common language for benchmarking and comparison
Alignment across the ecosystem
Support for coordinated progress toward higher maturity
This matrix below provides a side-by-side view of SNOMED CT implementation maturity across Members, User Organizations, and Vendors, using a common set of levels from None to Optimizing. It highlights how each stakeholder progresses along the same maturity scale while focusing on different responsibilities - national adoption, clinical use, and product capability.
The matrix supports comparison, alignment, and a shared understanding of how coordinated advancement across stakeholders enables effective, interoperable, and data-driven healthcare systems.
Level 0 – None
No national activity, no governance, no awareness
No use of SNOMED CT, reliance on free text/local codes
No SNOMED CT support, no terminology integration
Level 1 – Basic
The SNOMED CT Implementation Maturity Framework (IMF) describes how organisations evolve in their use of SNOMED CT, from initial awareness and limited use to fully integrated, optimised, and data-driven implementation. This page provides general guidance on how maturity develops and how to progress to higher levels.
Maturity reflects how effectively SNOMED CT is implemented and used to support healthcare delivery, interoperability, and data-driven decision-making across the ecosystem. It is not only about whether SNOMED CT is present, but how well it is adopted across relevant areas, systems, or products; embedded into workflows, services, or functionality; governed through clear ownership, policies, and strategy; exchanged consistently across systems and organisations; and used to generate insight, support decisions, and improve outcomes.
At lower levels, SNOMED CT is typically used in isolated ways, often driven by specific projects or requirements. At higher levels, it becomes a core capability, enabling consistent, interoperable, and value-driven use of health information across the ecosystem.
Maturity develops progressively, moving from isolated use toward integrated and optimised use. While the exact path differs by stakeholder type, the overall pattern is consistent.
Extension Management
75
Level 4
Secondary Use
25
Level 1-2
Overall
47.5
Level 2 – Emerging
81–100
Level 5 – Optimizing
0
Level 0 – None
1–20
Level 1 – Basic
21–40
Level 2 – Emerging
41–60
Level 3 – Advanced
61–80
Level 4 – Integrated
Clinical or operational data captured using free text or local codes only
No capability for interoperability or standardized data exchange
Limited awareness or early understanding of SNOMED CT
Minimal or experimental use in isolated areas
No formal governance, strategy, or implementation roadmap
Use is inconsistent and not embedded in workflows
Initial strategy and planning activities underway
Pilot projects or early implementations in selected areas
Early governance structures and roles being defined
Growing stakeholder awareness and engagement
Broader implementation across systems, departments, or affiliates
SNOMED CT integrated into key workflows and operational processes
Established governance, policies, and maintenance practices
Training and support mechanisms in place
Data increasingly used for reporting and operational insights
Widespread, consistent adoption across the organization or ecosystem
Interoperability enabled through alignment with standards (e.g., HL7, FHIR)
Strong governance with monitoring, quality assurance, and performance tracking
SNOMED CT data actively used for analytics and decision support
Measurable improvements in data quality and outcomes
Fully embedded and sustained use across all systems and workflows
Advanced analytics, real-time decision support, and AI-driven capabilities
Continuous improvement embedded in governance and operations
High-quality, interoperable data supporting research, policy, and innovation
Leadership in terminology management and best practices
Awareness exists, informal discussions, no national program
Limited use in isolated areas, minimal workflow integration
Basic functionality in limited modules, inconsistent implementation
Level 2 – Emerging
Strategy forming, pilots underway, early governance
Use in selected departments, early workflow integration, basic training
Implemented in some modules, basic search/tools, early interoperability
Level 3 – Advanced
Expanding adoption, governance established, monitoring introduced
Regular use in key workflows, structured governance and training
Integrated across core features, improved usability, standards-based interoperability
Level 4 – Integrated
Widespread national adoption, strong governance, aligned with national strategy
Enterprise-wide implementation, interoperability, analytics and decision support
Broad implementation, advanced usability (e.g., NLP), integrated analytics and CDS
Level 5 – Optimizing
Fully optimized national ecosystem, advanced secondary use, global leadership
Fully embedded, AI-driven insights, continuous improvement
Intelligent platform, AI-driven features, real-time interoperability, continuous innovation
Emerging stage. Use begins to expand and formalise. Adoption extends to additional areas, systems, or customers; initial governance and strategy are defined; and early efforts toward standardisation begin. Organisations start to move from experimentation to structured implementation.
Advanced stage. SNOMED CT is used consistently in key areas, embedded in core workflows, services, or product features. Governance structures are established and active, and interoperability capabilities are introduced. The focus shifts to consistency, coordination, and reliability.
Integrated stage. SNOMED CT is fully embedded across systems and workflows, used consistently across the organisation, ecosystem, or product suite. Data is exchanged reliably using agreed standards, and analytics and reporting are widely enabled. At this stage, SNOMED CT supports both operational and strategic use of data.
Optimising stage. SNOMED CT is continuously improved and used to drive innovation. Processes, governance, and implementations are regularly refined; advanced analytics and decision support are in use; and SNOMED CT enables new use cases and innovation. The focus is on maximising value and continuously improving outcomes across the ecosystem.
Progression requires coordinated development across multiple dimensions. These apply to all stakeholder types, though their implementation differs in practice.
Governance and strategy. Clear ownership, defined roles, and alignment with organisational or national priorities ensure consistent and sustainable implementation.
Adoption and integration. SNOMED CT must be used across relevant areas and embedded into workflows, systems, or product functionality. Adoption without integration typically leads to inconsistent or limited use.
Interoperability. The ability to exchange and interpret SNOMED CT-coded data across systems, organisations, and products is essential for scaling value.
Capability and skills. People, tools, and processes must support effective use. Without sufficient capability, adoption will remain limited or inconsistent.
Data use and value. Higher maturity is characterised by the ability to use SNOMED CT data for analytics, reporting, decision support, and improvement.
Understanding how maturity typically develops helps organisations set realistic expectations and make better decisions about where to invest effort.
Progress is incremental. Organisations rarely make large leaps in capability. More commonly, they build step by step, consolidating what is working before extending it further. Trying to skip stages tends to create fragility; apparent progress that is not underpinned by the foundations needed to sustain it.
Progress is not uniform. Different areas or stakeholders will move at different speeds, and that is normal. What matters is that higher levels of maturity require broadly balanced capability across all dimensions. A single area of significant weakness can limit the value that stronger areas are able to deliver.
Foundations enable scale. Governance, strategy, and workforce capability are not optional extras; they are the conditions that make it possible to move from isolated use cases to consistent, widespread adoption. Without them, technical progress tends to remain localised and fragile.
Integration drives value. The benefits of SNOMED CT are realised when it is genuinely embedded in clinical workflows, systems, and products, not when it exists as a standalone component used in isolation. Integration into the places where work actually happens is what converts terminology capability into practical impact.
Data use unlocks impact. The greatest value comes from using SNOMED CT-coded data to support insight, decision-making, and improvement. Capture and integration are necessary steps, but they are not the end goal.
Assessment results provide a structured basis for identifying priorities, regardless of stakeholder type. In most cases, effort should be directed first toward the areas with the lowest maturity, since these tend to act as constraints on overall progress. Other capabilities can only go so far if foundational elements are weak. Beyond that, priority should go to capabilities that enable broader adoption and integration, and to areas where greater consistency would improve interoperability with others.
It is also worth paying attention to imbalances across dimensions. An organisation that is technically strong but weak on governance, for example, may find that its technical investments are not delivering the value they should. Identifying those imbalances is often as instructive as identifying the lowest scores.
Progressing to a higher level of maturity is rarely achieved by improving a single thing. It typically requires coordinated development across multiple dimensions: expanding adoption into new areas, systems, or products; strengthening governance and coordination; embedding SNOMED CT more deeply into workflows and functionality; enabling interoperability across systems and organisations; and making greater use of data for analytics and decision support.
The specific actions required will vary depending on the stakeholder type and context. What works for a national health authority will differ from what is needed by a software vendor or an individual healthcare provider. The framework provides the structure; the roadmap needs to be grounded in the organisation's own situation.
Maturity is not a destination. As implementation deepens, new challenges emerge: systems change, staff turn over, and the broader healthcare environment evolves. Periodic reassessment helps organisations check whether progress is being sustained, identify new gaps, and adapt their strategies accordingly.
Treating maturity as an ongoing process, rather than a one-time achievement, is what ensures that SNOMED CT continues to deliver value over time, not just at the point of initial implementation.
The SNOMED International Implementation Portal provides resources, guidance, and tools to support SNOMED CT adoption across all stakeholder groups.
: Main portal for SNOMED CT implementation resources and services
: Interactive tool for planning a SNOMED CT Implementation project
This SNOMED CT Implementation Maturity Levels for User Organizations (Healthcare Providers), shows how the use of SNOMED CT evolves within clinical and operational environments. It outlines the progression from no use of standardized terminology to fully integrated, data-driven organizations where SNOMED CT is embedded across workflows, systems, and decision-making processes. The model highlights how healthcare providers can progressively enhance governance, user adoption, interoperability, and data use to support improved care delivery, analytics, and continuous improvement.
Implementation Process: A step-by-step guide through the typical SNOMED CT implementation process
Training: Overview of SNOMED CT training options, including courses for clinicians, data analysts, and implementers
SNOMED CT Implementation Course: An in-depth online course covering the knowledge and skills required to implement a SNOMED CT-enabled system
The SNOMED CT Implementation Maturity Framework draws on established maturity modelling approaches used across the software and healthcare industries.
Capability Maturity Model Integration (CMMI): A process improvement framework widely used in software development and organizational capability assessment
ISO/IEC 15504 (SPICE):An international standard for software process assessment, providing a reference model for evaluating process capability and maturity
HIMSS Maturity Models: A suite of healthcare-specific maturity models developed by HIMSS to measure the adoption and optimization of digital health technologies
No use of SNOMED CT in clinical or operational systems
Reliance on free text or local, non-standard codes
No governance, training, or implementation strategy
No capability to support standardized data capture or interoperability
Limited awareness and minimal use in isolated areas
SNOMED CT used experimentally or for specific use cases only
Minimal integration into clinical workflows
SNOMED CT used in selected departments or systems
Early integration into clinical workflows (e.g., documentation, problem lists)
Initial governance structures and guidance beginning to form
Regular use across key clinical workflows and systems
SNOMED CT integrated into documentation, ordering, and reporting processes
Established governance, policies, and maintenance practices
Enterprise-wide, consistent implementation across clinical areas
Seamless interoperability with internal and external systems
Strong governance with monitoring, quality assurance, and optimization
Fully embedded use across all workflows and systems
Real-time decision support and AI-driven insights using SNOMED CT data
Continuous improvement driven by performance monitoring and feedback
This section provides guidance to support Members in progressing to higher levels of maturity in national or regional SNOMED CT implementation.
This section guides Members (national or regional organizations) on how to progress between maturity levels.
Members often exhibit uneven maturity, with strong central capability but limited adoption across affiliates. Progression requires moving from central readiness to ecosystem-wide implementation.
No formal governance
Limited or no national strategy
Minimal adoption
Establish national governance structure
Define roles and responsibilities
Develop a national SNOMED CT strategy
Provide access (licensing, distribution)
→ Structured national approach with initial adoption
• Governance exists • Early adopters present • Limited coordination
Expand adoption across affiliates
Provide implementation guidance
Establish stakeholder engagement mechanisms
Introduce monitoring and metrics
→ Growing and coordinated adoption across the ecosystem
Broad but uneven adoption
Infrastructure in place
Limited standardization
Standardize implementation nationally
Strengthen interoperability frameworks
Improve terminology services and extensions
Align stakeholders and systems
→ Consistent, interoperable national ecosystem
High adoption
Strong infrastructure
Limited advanced data use
Enable advanced analytics and research
Continuously improve governance and processes
Support innovation and new use cases
Monitor outcomes and impact
→ Fully optimized, data-driven national system
Strong national leadership
Active stakeholder engagement
Clear policies and standards
Continuous monitoring and improvement
Growing awareness of benefits for data quality and reporting
Data used for reporting, quality improvement, and operational insights
Measurable improvements in care quality, efficiency, and outcomes
Strong alignment with national and international standards and best practices
A regional hospital that:
Uses SNOMED CT in several key departments (e.g., emergency, inpatient)
Has invested in clinician training and support
Has inconsistent workflow integration across systems
Has limited interoperability with external partners
Uses SNOMED CT minimally for analytics and decision support
This reflects a typical provider organization, where adoption is driven by local clinical needs rather than enterprise-wide strategy.
KPA Score = (25 + 25) ÷ 2 = 25
KPA Score = 25
KPA Score = 50
KPA Score = 25
KPA Score = 25
Domain Score = (25 + 25 + 50 + 25 + 25) ÷ 5 = 30
→ Level 1 – Basic (upper range)
Emerging training programs and internal expertise
Early clinical adoption in selected departments
Growing awareness of SNOMED CT benefits
Limited and inconsistent adoption across the organization
Lack of formal governance and strategy
Weak interoperability and standards alignment
To progress to Level 2–3, the organization should:
Define roles and responsibilities
Develop an implementation roadmap
Align with organizational strategy
Roll out SNOMED CT across more departments
Standardize usage across systems
Embed SNOMED CT in clinical documentation and processes
Reduce reliance on free text
Align with standards (e.g., FHIR)
Improve data exchange with partners
Use SNOMED CT for reporting and quality improvement
Introduce basic dashboards and insights
Training & Support
50
Level 2
Interoperability
25
Level 1
Analytics & CDS
25
Level 1
Overall
30
Level 1 – Basic
Clinical Areas
Partial – uneven coverage
25
Clinical Workflows
Developing – partial workflow integration
25
Governance Structure
Basic governance
25
Strategic Alignment
Informal discussions
25
Training Programs
Structured programs
50
User Support
Identified champions
50
Data Exchange
Limited interoperability
25
Standards Alignment
Incomplete mappings
25
Analytics Tools
Basic analytics
25
Decision Support
Limited tools
25
Scope of Implementation
25
Level 1–2
Governance & Strategy
25
Level 1
This guide is designed as a manual resource to support reading, reflection, and structured discussion around SNOMED CT implementation maturity.
It provides:
Detailed explanations of each Key Process Area (KPA)
Full visibility of all questions, contexts, and answer options
A shared reference for workshops, stakeholder discussions, and planning sessions
Organizations can use this document to:
Facilitate internal reviews and group assessments
Support strategic conversations across teams
Build a common understanding of maturity levels and expectations
In addition to this guide, an interactive version of the assessment is available:
This online tool enables you to:
Complete the assessment digitally
Automatically calculate maturity scores
Generate structured outputs and insights
Track progress more efficiently
Use this guide when you want:
A comprehensive reference
To support facilitated discussions or workshops
The guide and the interactive tool are designed to complement each other:
The guide provides depth, context, and shared understanding
The tool provides efficiency, scoring, and reporting
Using both together ensures a more robust, consistent, and meaningful assessment process.
Use the interactive tool when you want:
A quick and structured assessment experience
Automated scoring and results
A more streamlined and repeatable process
This assessment is designed for User Organizations (e.g., healthcare providers, hospitals, government agencies) that implement SNOMED CT within their systems and workflows .
It enables organizations to evaluate:
Clinical adoption and workflow integration
Governance and strategic alignment
User capability and training
Interoperability readiness
Use of analytics and decision support
The objective is to assess maturity, identify gaps, and guide continuous improvement in clinical terminology use.
This KPA evaluates how extensively SNOMED CT is implemented across clinical areas and embedded into workflows.
It focuses on:
Breadth of adoption across departments and care settings
Depth of integration into clinical processes
Higher maturity indicates enterprise-wide adoption with deep workflow integration, supporting consistent clinical documentation and care delivery.
In how many clinical areas or care settings is SNOMED CT currently used?
Clinical areas may include primary care, emergency, radiology, pathology, pharmacy, mental health, and specialty services.
This KPA assesses the organizational structures, policies, and strategic alignment guiding SNOMED CT implementation.
It focuses on:
Governance frameworks
Roles and accountability
Strategic planning and alignment
Higher maturity reflects well-defined governance integrated into organizational and digital health strategies.
What is the state of governance structures for SNOMED CT adoption?
Consider ownership, roles, responsibilities, and oversight mechanisms supporting SNOMED CT implementation.
This KPA evaluates how well users are trained, supported, and empowered to use SNOMED CT effectively.
It focuses on:
Training programs
Knowledge dissemination
Internal champions and expertise
Higher maturity indicates a knowledgeable workforce supported by structured training and expert networks.
What level of training is provided to users on SNOMED CT?
Consider the availability, consistency, and quality of training provided to different user groups.
This KPA measures the ability to exchange SNOMED CT-coded data across systems.
It focuses on:
Data exchange capabilities
Standards alignment
Higher maturity reflects seamless, standards-based interoperability across healthcare systems.
What is the level of SNOMED CT integration for data exchange?
Consider how SNOMED CT-coded data is exchanged within and across systems, including reliability and coverage.
This KPA evaluates how SNOMED CT is used to support analytics, reporting, and clinical decision support.
It focuses on:
Clinical analytics
Reporting
Decision support systems
Higher maturity reflects data-driven healthcare supported by predictive analytics and real-time clinical guidance.
How effectively are analytics tools using SNOMED CT data?
Consider how SNOMED CT data is used for reporting, analysis, and insight generation.
This assessment is designed for Vendors and Software Product Providers that develop and deliver systems incorporating SNOMED CT (e.g., EHRs, clinical platforms, decision support tools) .
It enables evaluation of:
Breadth of SNOMED CT implementation across products
Terminology management capabilities
0
None
0
No SNOMED CT use in any clinical area
1
Limited – 1–2 areas
25
Used only in one or two departments
2
Partial – uneven coverage
0
No governance
0
No defined ownership or oversight
1
Basic governance
25
Informal or fragmented governance
2
Established frameworks
50
0
No training
0
No training available
1
Basic, inconsistent training
25
Limited or one-off training
2
Structured programs
50
0
No data exchange
0
No structured data exchange
1
Limited interoperability
25
Inconsistent or partial exchange
2
Select system integration
50
0
No analytics
0
No use of SNOMED CT data
1
Basic analytics
25
Simple reporting
2
Actionable insights
50
Usability and tooling for end-users
Interoperability and data exchange
Use of analytics and decision support
The objective is to assess product maturity, ensure alignment with best practices, and support continuous improvement.
This KPA evaluates how extensively SNOMED CT is embedded across software products, focusing on:
Coverage across EHR modules
Breadth across clinical domains
Higher maturity indicates enterprise-wide, consistent integration of SNOMED CT, enabling semantic interoperability and comprehensive clinical data representation.
Across how many clinical domains is SNOMED CT currently applied?
Clinical domains include:
Diagnoses
Procedures
This KPA assesses how effectively SNOMED CT is managed, updated, and delivered within the product, including:
Update processes
Version control
Localization and user communication
Higher maturity reflects automated, reliable, and transparent terminology lifecycle management.
How effectively are SNOMED CT updates localized and communicated to users?
Includes:
Regional adaptations
Extensions
This KPA evaluates how effectively SNOMED CT is exposed to end-users through product design, focusing on:
Search functionality
Interface usability
Feedback and improvement mechanisms
Higher maturity reflects intuitive, intelligent, and adaptive user experiences that enhance usability and data quality.
How effectively is user feedback integrated to improve tool usability?
Consider:
Feedback collection
Metrics tracking
This KPA measures the ability of the product to exchange SNOMED CT-coded data across systems, ensuring:
Standards compliance
Data consistency
Interoperability readiness
Higher maturity reflects seamless, real-time, standards-based data exchange.
This KPA evaluates how SNOMED CT is leveraged within products for:
Clinical decision support
Analytics and reporting
AI-driven insights
Higher maturity reflects intelligent, data-driven systems that enhance clinical outcomes and operational efficiency.
3
Established
75
Used in key workflows such as documentation and ordering
4
Comprehensive
90
Embedded across most workflows
5
Optimized
100
Fully embedded and continuously improved
50
Used in some departments but not consistently
3
Broad – several major areas
75
Used across multiple core clinical services
4
Comprehensive – most areas
90
Used in most departments
5
Fully integrated enterprise-wide
100
Used consistently across all relevant areas
0
None
0
No integration into workflows
1
Minimal use (1–2 workflow areas)
25
Used in isolated processes only
2
Developing
50
Defined roles and policies exist
3
Comprehensive governance
75
Formal governance with oversight mechanisms
4
Continuously improved governance
90
Governance regularly reviewed and improved
5
Advanced governance model
100
Fully optimized and adaptive governance system
0
No documented goals
0
No strategy or roadmap
1
Informal discussions
25
Ad hoc or informal planning
2
Documented strategy
50
Defined implementation plan
3
Reviewed and refined
75
Strategy reviewed periodically
4
Dynamically updated
90
Strategy updated based on changing priorities
5
Advanced continuous alignment
100
Fully integrated into organizational strategy
Formal onboarding training
3
Comprehensive training
75
Regular training and updates
4
Continuously improved training
90
Training improved based on feedback
5
Advanced training ecosystem
100
Continuous, role-based learning programs
0
No support
0
No internal expertise available
1
Minimal support
25
Informal or ad hoc support
2
Identified champions
50
Designated support roles exist
3
Active champions
75
Champions actively support adoption
4
Advanced support roles
90
Dedicated terminology or support roles
5
Fully optimized ecosystem
100
Continuous expert support and knowledge sharing
Reliable exchange in some interfaces
3
Seamless exchange
75
Standards-based interoperability
4
Continuously refined
90
Exchange processes regularly improved
5
Advanced ecosystem
100
Fully optimized, scalable interoperability
0
No standards
0
No alignment with standards
1
Incomplete mappings
25
Partial or inconsistent mappings
2
Partially standardized
50
Some compliance with standards
3
Monitored and improved
75
Standards regularly reviewed and improved
4
Fully reliable processes
90
Consistent, reliable implementation
5
Advanced ecosystem
100
Fully optimized standards alignment
Supports decision-making
3
Predictive analytics
75
Trend analysis and forecasting
4
Real-time insights
90
Near real-time analytics
5
Advanced ecosystem
100
Fully optimized analytics environment
0
No decision support
0
No CDS capability
1
Limited tools
25
Partial or inconsistent use
2
Workflow support
50
Used in key clinical workflows
3
Measured effectiveness
75
CDS performance monitored
4
Real-time decision support
90
Context-aware guidance
5
Advanced ecosystem
100
Fully optimized CDS environment
Partially integrated into workflows
5
Pilot/testing stages
2
Partial – uneven implementation
25
Limited modules (e.g., diagnoses only)
3
Broad – several major modules
50
Used in documentation, orders, etc.
4
Comprehensive – most modules
75
Covers most functional areas
5
Fully integrated enterprise-wide
100
All modules consistently use SNOMED CT
Medications
Laboratory findings
Anatomy
Organisms
0
No
0
SNOMED CT not used
1
5
No structured process
2
Basic structured process
25
Manual effort required
3
Standardized with version control
50
Scheduled updates
4
Partially automated
75
Automated retrieval + tracking
5
Fully automated and seamless
100
Continuous deployment
User notifications
0
No localization or notifications
0
No adaptation or communication
1
5
Manual browsing
2
Basic search with filters
25
Limited usability
3
Intuitive interfaces
50
Synonyms and suggestions
4
Advanced tools (NLP)
75
Intelligent search
5
AI-driven adaptive system
100
Personalized suggestions
Continuous improvement
0
No feedback tracking
0
No mechanisms
1
25
Non-standard exchange
2
Standard-based integration
50
FHIR/HL7 support
3
Monitored and optimized
75
Active management
4
Seamless real-time exchange
90
Automated processes
5
Advanced ecosystem
100
Continuous improvement
25
Inconsistent usage
2
Defined tools
50
Standard CDS features
3
Measured effectiveness
75
Performance tracking
4
Real-time adaptive tools
90
Dynamic recommendations
5
Advanced ecosystem
100
Continuous optimization
Predictive analytics
0
No analytics
0
No structured data use
1
0
No
0
SNOMED CT not used
1
0
No implementation
0
SNOMED CT not used
1
0
No implementation
0
SNOMED CT not available
1
0
No data exchange
0
No interoperability
1
0
No integration
0
No decision support
1
Very limited – 1–2 modules
Manual and inconsistent
Basic and cumbersome
Limited integration
Limited integration
This assessment is designed for Members (National Release Centers) responsible for national or regional SNOMED CT implementation, governance, and adoption .
It enables evaluation of:
Adoption across affiliates
Governance and strategic alignment
Stakeholder engagement
National extension management
Secondary use of SNOMED CT
The goal is to measure maturity, identify gaps, and support continuous improvement.
This KPA evaluates the extent and success of SNOMED CT adoption across a Member’s target ecosystem (e.g., healthcare providers, institutions, affiliates).
It focuses on:
Adoption coverage (how many organizations are using SNOMED CT)
Monitoring and measurement capabilities
Higher maturity indicates broad adoption supported by structured tracking and continuous improvement strategies.
How would you describe the current level of affiliate adoption of SNOMED CT in your region?
Consider what percentage of your target organizations (affiliates) are actively using SNOMED CT.
This KPA assesses the organizational structures, policies, and strategic alignment that guide SNOMED CT adoption at a national level.
It focuses on:
Governance frameworks
Roles and responsibilities
Alignment with national healthcare priorities
Higher maturity reflects well-coordinated, adaptive governance embedded in national health strategies.
Is there a formal governance structure in place for managing SNOMED CT adoption?
Evaluate how organized and structured governance and oversight mechanisms are.
This KPA evaluates how effectively the Member engages and supports key stakeholders, including:
Healthcare providers
Government bodies
Professional associations
End-users
It also assesses the availability of resources and support systems.
Higher maturity indicates active collaboration, structured engagement strategies, and strong user support ecosystems.
How engaged are stakeholders in SNOMED CT adoption efforts?
Consider the level of participation and collaboration across stakeholders.
This KPA focuses on the management of national SNOMED CT extensions, including:
Localization
Translation
Content updates
Governance of national terminology
Higher maturity reflects systematic, high-quality, and continuously evolving national content management processes.
Are processes in place for managing and updating national SNOMED CT content?
Consider governance, editorial guidelines, and update cycles.
This KPA evaluates how SNOMED CT supports secondary use of data, including:
Research
Analytics
Reporting
Decision support
Higher maturity reflects advanced analytics, AI-driven insights, and integration into national health data strategies.
How effectively is SNOMED CT being used for secondary data purposes?
Consider use in:
Research
Reporting
Single domain
5
Only one data type
2
Narrow scope
25
Few domains
3
Moderate scope
50
Several domains
4
Broad scope
75
Most domains covered
5
Comprehensive
100
All domains consistently covered
Limited localization
25
Inconsistent updates
2
Structured localization
50
Standard notifications
3
Systematic and proactive
75
Reliable communication
4
Real-time notifications
90
Context-aware updates
5
Advanced continuous improvement
100
Fully adaptive system
Occasional feedback
25
Inconsistent use
2
Feedback informs improvements
50
Regular updates
3
Metrics actively tracked
75
Data-driven improvements
4
Real-time feedback loops
90
Continuous optimization
5
Advanced continuous improvement
100
Fully adaptive system
Basic analytics
25
Simple reports
2
Actionable insights
50
Decision support
3
Advanced analytics
75
Predictive models
4
Real-time AI analytics
90
ML-driven insights
5
Advanced ecosystem
100
Fully optimized analytics
0
No affiliates using SNOMED CT
0
No awareness or adoption capability
1
<25% adoption
25
Limited and inconsistent uptake
2
25–75% adoption
50
0
No governance structure
0
Ad hoc decision-making
1
Basic, inconsistent governance
25
Fragmented policies
2
Well-defined governance framework
50
0
No engagement
0
No adoption
1
Minimal engagement
5
Isolated efforts
2
Occasional engagement
25
Informal meetings
3
Structured involvement
50
Regular working groups
4
Comprehensive engagement strategy
75
Formal partnerships
5
Continuously refined engagement
100
Adaptive engagement model
0
No processes
0
No extension exists
1
Ad hoc efforts
25
Unstructured updates
2
Structured processes
50
Editorial guidelines
3
Systematic processes
75
Governance and quality assurance
4
Dynamically updated processes
90
Continuous improvements
5
Advanced ecosystem
100
Fully optimized lifecycle
Population health
Analytics platforms
Policy and decision-making
0
No secondary use
0
Only primary documentation
1
25
Informal or inconsistent efforts
2
Documented and aligned strategy
50
Formal plans exist
3
Integrated with national initiatives
75
Embedded in healthcare programs
4
Dynamically updated strategies
90
Regular reviews and updates
5
Advanced continuous alignment
100
Fully adaptive strategic model
25
Limited documentation
2
Structured resources
50
FAQs and support channels
3
Comprehensive resources
75
Training + documentation
4
Continuously improved resources
90
Feedback-driven updates
5
Advanced ecosystem
100
Fully optimized support
Moderate progress, still scaling
3
75–95% adoption
75
Strong adoption, nearing full coverage
4
100% adoption
90
Full target population adoption
5
Advanced, continuously improved
100
Fully embedded with ongoing optimization
0
No monitoring
0
No tracking mechanisms
1
Minimal monitoring
25
Limited tracking in isolated settings
2
Structured metrics tracking
50
Affiliate and hospital usage tracked
3
Monitoring supported by education initiatives
75
Training programs linked to adoption tracking
4
Dynamically improved monitoring
90
Feedback-driven improvements
5
Advanced continuous monitoring
100
Fully optimized monitoring ecosystem
Clear roles and policies
3
Comprehensive governance with reviews
75
Stakeholder involvement and audits
4
Continuously improved governance
90
Feedback-driven updates
5
Advanced continuous governance
100
Fully optimized governance model
0
No documented goals
0
No structured alignment
1
0
No resources
0
No support systems
1
Initial attempts
25
Limited impact
2
Basic analytics
50
Reporting and dashboards
3
Advanced use cases
75
Predictive analytics, CDS
4
Continuously refined
90
AI-driven insights
5
Advanced ecosystem
100
Fully optimized data use
Occasional alignment
Basic resources
